This paper proposes an intrusion detection and prediction system based on uncertain and imprecise inference networks and its implementation. Giving a historic of sessions, it is about proposing a method of supervised learning doubled of a classifier permitting to extract the necessary knowledge in order to identify the presence or not of an intrusion in a session and in the positive case to rec...

An Intrusion detection system (IDS) is a device or a software application that monitors a network or systems for malicious activity or policy violations. Intrusion Detection Systems supports to discover, determine, and identify unauthorized use, duplication, alteration, and destruction of information systems. So, to make intrusion detection system more efficient, the techniques that are more ad...

The goal of the article is to presents intrusion detections systems and design architecture of intrusion detection based on neural network self organizing map. In the report is described base problematic of neural network and intrusion detection system. The article further deals with specific design of intrusion detection architecture based on user anomaly behavior. A core of the designed archi...

Analytical methods and numerical experiments are used to study salinization of groundwater in response to sea level rise. The system that is studied involves a saturated porous medium with an inclined upper surface. The upper surface is progressively inundated during sea level rise to simulate transgression, the landward migration of the shoreline. Four "modes" of seawater intrusion are disting...

MOVICAB-IDS has been previously proposed as a hybrid intelligent Intrusion Detection System (IDS). This on-going research aims to be one step towards adding automatic response to this visualization-based IDS by means of clustering techniques. As a sample case of study for the proposed clustering extension, it has been applied to the identification of different network scans. The aim is checking...

Today we are suffering from many problems because of intruder interference in our communication with other person/organisation. We need a very safe and secure intrusion detection system. So, intrusion detection has become an important area of research The existing systems are not completely flawless and secure. So, there is the need to improve the existing system. In this paper, firstly we are ...

Current intrusion detection systems work in isolation from access control for the application the systems aim to protect. The lack of coordination and interoperation between these components prevents detecting and responding to ongoing attacks in real-time before they cause damage. To address this, we apply dynamic authorization techniques to support fine-grained access control and application ...

Current intrusion detection systems work in isolation from access control for the application the systems aim to protect. The lack of coordination and interoperation between these components prevents detecting and responding to ongoing attacks in real-time before they cause damage. To address this, we apply dynamic authorization techniques to support fine-grained access control and application ...

Accurate intrusion detection still is an open challenge. Present work aims at being one step towards that purpose by studying the combination of clustering and visualization techniques. To do that, MOVICAB-IDS, previously proposed as a hybrid intelligent Intrusion Detection System (IDS) based on visualization techniques, is upgraded by adding automatic response thanks to clustering methods. To ...

Intrusion Detection is one of major threats for organization. The approach of intrusion detection using text processing has been one of research interests which is gaining significant importance from researchers. In text mining based approach for intrusion detection, system calls serve as source for mining and predicting possibility of intrusion or attack. When an application runs, there might ...